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MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering
<p>Abstract</p> <p>Background</p> <p>Uncovering subtypes of disease from microarray samples has important clinical implications such as survival time and sensitivity of individual patients to specific therapies. Unsupervised clustering methods have been used to classify...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2009-08-01
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| Colecção: | BMC Bioinformatics |
| Acesso em linha: | http://www.biomedcentral.com/1471-2105/10/260 |
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